Search⌘ K
AI Features

Solution: Merge Intervals

Explore how to solve the merge intervals problem by sorting intervals based on start times and merging overlapping ones. Understand the optimized approach that reduces time complexity to O(n log n) by processing sorted intervals and updating merged boundaries. This lesson helps you implement and analyze an efficient solution for merging intervals in coding interviews.

Statement

We are given an array of closed intervalsclosedintervals called intervals, where each interval has a start time and an end time and is represented as intervals[i] = [starti, endi]. Your task is to merge all the overlapping intervalsOverlapping intervals are two or more intervals with at least one common point in time. and return an array of the resulting non-overlapping intervals that cover all the intervals in the input.

Constraints:

  • 11 \leq intervals.length ...